Schumacher, Martin
(as bibtex)
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Articles (90)
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Schumacher, Martin, Herrnböck, Anne-Sophie, Binder, Nadine.
Estimating hazard ratios in cohort data with missing disease information due to death.
Biometrical Journal
2017.
59:251-269
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Schumacher, Martin.
Norman Edward Breslow–Key figure in the foundation of modern biostatistics.
Biometrical Journal
2017.
59:399-404
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Allignol, Arthur, Schumacher, Martin, Winterfeld, Ursula, Beyersmann, Jan, Friedrich, Sarah.
Nonparametric estimation of pregnancy outcome probabilities.
The Annals of Applied Statistics
2017.
11:840-867
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Wolkewitz, Martin, Alvarez-Lerma, Francisco, Olaechea-Astigarraga, Pedro, Palomar-Martinez, Mercedes, Schumacher, Martin, Cube, Maja von.
A case-cohort approach for multi-state models in hospital epidemiology.
Statistics in Medicine
2017.
36:481-495
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consortium, on behalf of the COMBACTE-NET, Schumacher, Martin, Wolkewitz, Martin, Sommer, Harriet.
The time-dependent “cure-death” model investigating two equally important endpoints simultaneously in trials treating high-risk patients with resistant pathogens.
Pharmaceutical Statistics
2017.
16:267-279
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Schwarzer, Guido, Koller, Michael, Schumacher, Martin, Beyersmann, Jan, Bonofiglio, Federico.
Meta-analysis for aggregated survival data with competing risks: a parametric approach using cumulative incidence functions.
Research Synthesis Methods
2016.
7:282-293
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Schumacher, Martin, Proctor, Tanja.
Analysing adverse events by time-to-event models: the CLEOPATRA study.
Pharmaceutical Statistics
2016.
15:-
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Schumacher, Martin, Nieters, Alexandra, Binder, Harald, Hieke, Stefanie.
minPtest: a resampling based gene region-level testing procedure for genetic case-control studies.
Computational Statistics
2014.
29:51-63
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Schumacher, Martin.
Probability estimation and machine learning—Editorial.
Biometrical Journal
2014.
56:-
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Binder, Harald, Schumacher, Martin, Stampf, Susanne, Porzelius, Christine, Reiser, Veronika.
Can matching improve the performance of boosting for identifying important genes in observational studies?.
Computational Statistics
2013.
28:37-49
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Yu, Changhong, Schumacher, Martin, Kattan, Michael W., Gerds, Thomas A..
Estimating a time-dependent concordance index for survival prediction models with covariate dependent censoring.
Statistics in Medicine
2013.
32:2173-2184
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Beyersmann, Jan, Schumacher, Martin, Hieke, Stefanie, Termini, Susanna Di.
Nonparametric inference for the cumulative incidence function of a competing risk, with an emphasis on confidence bands in the presence of left-truncation.
Biometrical Journal
2012.
54:568-578
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Victor, Norbert, Seldrup, Jørgen, Schumacher, Martin, Nakas, Christos T, Kieser, Meinhard, Friede, Tim, Edler, Lutz, Gerlinger, Christoph.
Considerations on what constitutes a ‘qualified statistician’ in regulatory guidelines.
Statistics in Medicine
2012.
31:-
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Muller, Tina, Mueller, Tina, Binder, Harald, Müller, Tina, Schwender, Holger, Golka, Klaus, Steffens, Michael, Hengstler, Jan G., Ickstadt, Katja, Schumacher, Martin.
Cluster-localized sparse logistic regression for SNP data.
Statistical Applications in Genetics and Molecular Biology
2012.
11:NA-NA
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Schumacher, Martin, Henderson, Robin.
Clinical epidemiology and individualized medicine.
Biometrical Journal
2011.
53:167-169
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Porzelius, Christine, Schumacher, Martin, Binder, Harald.
The benefit of data-based model complexity selection via prediction error curves in time-to-event data.
Computational Statistics
2011.
26:293-302
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Binder, Harald, Schumacher, Martin, Beyersmann, Jan, Schoop, Rotraut.
Quantifying the predictive accuracy of time-to-event models in the presence of competing risks.
Biometrical Journal
2011.
53:88-112
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Schumacher, Martin, Grambauer, Nadine, Allignol, Arthur, Wolkewitz, Martin, Beyersmann, Jan.
Application of multistate models in hospital epidemiology: Advances and challenges.
Biometrical Journal
2011.
53:332-350
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Graf, Erika, Schumacher, Martin, Schoop, Rotraut.
Measures of prediction error for survival data with longitudinal covariates.
Biometrical Journal
2011.
53:275-293
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Schumacher, Martin, Porzelius, Christine, Binder, Harald.
An overview of techniques for linking high-dimensional molecular data to time-to-event endpoints by risk prediction models.
Biometrical Journal
2011.
53:170-189
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Allignol, Arthur, Schumacher, Martin, Beyersmann, Jan.
Estimating summary functionals in multistate models with an application to hospital infection data.
Computational Statistics
2011.
26:181-197
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Schumacher, Martin, Royston, Patrick, Sauerbrei, Willi.
Comments on ‘Performance of using multiple stepwise algorithms for variable selection’ by Ryan E. Wiegand, Statistics in Medicine 2010; 29:1647–1659.
Statistics in Medicine
2011.
30:892-894
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Allignol, Arthur, Schumacher, Martin, Beyersmann, Jan.
Empirical transition matrix of multi-state models: The etm package.
Journal of Statistical Software
2011.
38:NA-NA
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Wolkewitz, Martin, Allignol, Arthur, Schumacher, Martin, Beyersmann, Jan.
Two pitfalls in survival analyses of time-dependent exposure: A case study in a cohort of Oscar nominees.
The American Statistician
2010.
64:205-211
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Allignol, Arthur, Schumacher, Martin, Beyersmann, Jan.
A note on variance estimation of the Aalen-Johansen estimator of the cumulative incidence function in competing risks, with a view towards left-truncated data.
Biometrical Journal
2010.
52:126-137
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Schumacher, Martin, Carpenter, James, Schwarzer, Guido, Rücker, Gerta.
Comments on ‘Empirical vs natural weighting in random effects meta-analysis’ by JJ Shuster, Statistics in Medicine 2009; 26, Published online, DOI: 10.1002/sim.3607.
Statistics in Medicine
2010.
29:2963-2965
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Schumacher, Martin, Rücker, Gerta.
Summary ROC curve based on a weighted Youden index for selecting an optimal cutpoint in meta-analysis of diagnostic accuracy.
Statistics in Medicine
2010.
29:-
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Beyersmann, Jan, Schumacher, Martin, Allignol, Arthur.
A Note on Variance Estimation of the Aalen–Johansen Estimator of the Cumulative Incidence Function in Competing Risks, with a View towards Left-Truncated Data.
Biometrical Journal
2010.
52:126-137
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Schumacher, Martin, Eckert, Cornel, Höfling, Holger.
“Classification of Therapy Resistance Based on Longitudinal Biomarker Profiles” by M. Kohlmann, L. Held and V. P. Grunert Biometrical Journal (2009) 51(4):610–626 Article: http://dx.doi.org/10.1002/bimj.200800157. Authors' reply: http://dx.doi.org/10.1002/bimj.201000119.
Biometrical Journal
2010.
52:562-566
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Grambauer, Nadine, Schumacher, Martin, Beyersmann, Jan.
Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified.
Statistics in Medicine
2010.
29:875-884
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Stampf, Susanne, Graf, Erika, Schmoor, Claudia, Schumacher, Martin.
Estimators and confidence intervals for the marginal odds ratio using logistic regression and propensity score stratification.
Statistics in Medicine
2010.
29:760-769
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Porzelius, Christine, Schumacher, Martin, Binder, Harald.
A general, prediction error-based criterion for selecting model complexity for high-dimensional survival models.
Statistics in Medicine
2010.
29:830-838
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Latouche, Aurelien, Beyersmann, Jan, Latouche, Aurélien, Buchholz, Anika, Schumacher, Martin.
Simulating competing risks data in survival analysis.
Statistics in Medicine
2009.
28:956-971
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Graw, Frederik, Gerds, Thomas A., Schumacher, Martin.
On pseudo-values for regression analysis in competing risks models.
Lifetime Data Analysis
2009.
15:241-255
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Augustin, Nicole H., Musio, Monica, von Wilpert, Klaus, Kublin, Edgar, Wood, Simon N., Schumacher, Martin.
Modeling Spatiotemporal Forest Health Monitoring Data.
Journal of the American Statistical Association
2009.
104:899-911
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Binder, Harald, Schumacher, Martin.
Adapting Prediction Error Estimates for Biased Complexity Selection in High-Dimensional Bootstrap Samples.
Statistical Applications in Genetics and Molecular Biology
2008.
7:NA-NA
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Gerds, Thomas A., Cai, Tianxi, Schumacher, Martin.
The performance of risk prediction models.
Biometrical Journal
2008.
50:457-479
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Binder, Harald, Schumacher, Martin.
Adapting prediction error estimates for biased complexity selection in high-dimensional bootstrap samples.
Statistical Applications in Genetics and Molecular Biology
2008.
7:N/A-N/A
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Beyersmann, Jan, Wolkewitz, Martin, Schumacher, Martin.
The impact of time-dependent bias in proportional hazards modelling.
Statistics in Medicine
2008.
27:6439-6454
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Schumacher, Martin, Graf, Erika.
Comments on ‘The performance of different propensity score methods for estimating marginal odds ratios’ by Peter C. Austin, Statistics in Medicine 2007; 26(16):3078–3094.
Statistics in Medicine
2008.
27:3915-3917
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Graf, Erika, Schumacher, Martin.
Comments on ``The performance of different propensity score methods for estimating marginal odds ratios'' (2007V26 p3078-3094)(Pkg: p3915-3920).
Statistics in Medicine
2008.
27:3915-3917
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Beyersmann, Jan, Schumacher, Martin.
A note on nonparametric quantile inference for competing risks and more complex multistate models.
Biometrika
2008.
95:1006-1008
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Schumacher, Martin, Brunner, Edgar.
Year 2006 – Report.
Biometrical Journal
2007.
49:173-175
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Schumacher, Martin, Brunner, Edgar.
Editorial: Biom. J. 5/2007.
Biometrical Journal
2007.
49:-
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Beyersmann, Jan, Schumacher, Martin.
Comment on ``Misspecified regression model for the subdistribution hazard of a competing risk'' (2006V5 p965-974).
Statistics in Medicine
2007.
26:1649-1651
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Beyersmann, Jan, Dettenkofer, Markus, Bertz, Hartmut, Schumacher, Martin.
A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards.
Statistics in Medicine
2007.
26:5360-5369
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Gerds, Thomas A., Schumacher, Martin.
Efron-Type Measures of Prediction Error for Survival Analysis.
Biometrics
2007.
63:1283-1287
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Schumacher, Martin, Brunner, Edgar.
Year 2005 – Report.
Biometrical Journal
2006.
48:189-192
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Gerds, Thomas A., Schumacher, Martin.
Consistent estimation of the expected Brier score in general survival models with right-censored event times.
Biometrical Journal
2006.
48:1029-1040
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Augustin, Nicole, Sauerbrei, Willi, Schumacher, Martin.
The practical utility of incorporating model selection uncertainty into prognostic models for survival data.
Statistical Modelling: An International Journal
2005.
5:95-118
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Schumacher, Martin, Brunner, Edgar.
Year 2004 – Report.
Biometrical Journal
2005.
47:113-118
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Schumacher, Martin.
Editorial: Biom. J. 6/2005.
Biometrical Journal
2005.
47:-
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Schumacher, Martin, Brunner, Edgar.
Editorial: Biom. J. 1/2005.
Biometrical Journal
2005.
47:-
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Schumacher, Martin, Sauerbrei, Willi, Holländer, Norbert.
Confidence intervals for the effect of a prognostic factor after selection of an ‘optimal’ cutpoint.
Statistics in Medicine
2004.
23:1701-1713
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Hollander, Norbert, Hollaender, Norbert, Holländer, Norbert, Sauerbrei, Willi, Schumacher, Martin.
Confidence intervals for the effect of a prognostic factor after selection of an 'optimal' cutpoint.
Statistics in Medicine
2004.
23:1701-1713
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Wehberg, Sonja, Schumacher, Martin.
A comparison of nonparametric error rate estimation methods in classification problems.
Biometrical Journal
2004.
46:35-47
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Schumacher, Martin, Brunner, Edgar.
Editorial: Biom. J. 1/2004.
Biometrical Journal
2004.
46:-
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Lausen, Berthold, Hothorn, Torsten, Bretz, Frank, Schumacher, Martin.
Assessment of optimal selected prognostic factors.
Biometrical Journal
2004.
46:364-374
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Lausen, Berthold, Lerche, Rudolf, Schumacher, Martin.
Maximally selected rank statistics for dose-response problems.
Biometrical Journal
2002.
44:131-147
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Schwarzer, Guido, Antes, Gerd, Schumacher, Martin.
Inflation of type I error rate in two statistical tests for the detection of publication bias in meta-analyses with binary outcomes.
Statistics in Medicine
2002.
21:2465-2477
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Schmoor, Claudia, Sauerbrei, Willi, Schumacher, Martin.
Sample size considerations for the evaluation of prognostic factors in survival analysis.
Statistics in Medicine
2000.
19:441-452
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Schwarzer, Guido, Vach, W., Schumacher, Martin.
On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology.
Statistics in Medicine
2000.
19:541-561
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Graf, Erika, Schmoor, Claudia, Sauerbrei, Willi, Schumacher, Martin.
Assessment and comparison of prognostic classification schemes for survival data.
Statistics in Medicine
1999.
18:2529-2545
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Schumacher, Martin.
The Freiburg Center of Data Analysis and Model Building (FDM): An interim report about an interdisciplinary cooperation.
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Hollander, Norbert, Hollaender, Norbert, Schumacher, Martin, Holländer, Norbert, Sauerbrei, Willi.
Resampling and cross-validation techniques: A tool to reduce bias caused by model building?.
Statistics in Medicine
1997.
16:2813-2827
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Schmoor, Claudia, Schumacher, Martin.
Effects of covariate omission and categorization when analysing randomized trials with the Cox model.
Statistics in Medicine
1997.
16:225-237
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Hollander, Norbert, Hollaender, Norbert, Schumacher, Martin, Holländer, Norbert, Sauerbrei, Willi.
Reduction of bias caused by model building.
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Schmoor, Claudia, Olschewski, Manfred, Schumacher, Martin.
Randomized and non-randomized patients in clinical trials: Experiences with comprehensive cohort studies.
Statistics in Medicine
1996.
15:263-271
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Lausen, Berthold, Schumacher, Martin.
Evaluating the effect of optimized cutoff values in the assessment of prognostic factors.
Computational Statistics & Data Analysis
1996.
21:307-326
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Rossner, Reinhard, Schumacher, Martin, Roßner, Reinhard, Vach, W..
Neural networks and logistic regression: Part I.
Computational Statistics & Data Analysis
1996.
21:661-682
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Rossner, Reinhard, Vach, W., Roßner, Reinhard, Schumacher, Martin.
Neural networks and logistic regression: Part II.
Computational Statistics & Data Analysis
1996.
21:683-701
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Schulgen, Gabi, Schumacher, Martin.
Estimation of prolongation of hospital stay attributable to nosocomial infections: New approaches based on multistate models.
Lifetime Data Analysis
1996.
2:219-240
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Graf, Erika, Schumacher, Martin.
An investigation on measures of explained variation in survival analysis.
The Statistician: Journal of the Institute of Statisticians
1995.
44:497-507
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Olsen, Jorgen H., Olsen, Joergen H., Schulgen, Gabi, Lausen, Berthold, Olsen, Jørgen H., Schumacher, Martin.
Outcome-oriented cutpoints in analysis of quantitative exposures.
American Journal of Epidemiology
1994.
140:172-184
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Schumacher, Martin, Ulm, Kurt, Schmoor, Claudia.
Comparison of the cox model and the regression tree procedure in analysing a randomized clinical trial†.
Statistics in Medicine
1993.
12:2351-2366
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Vach, W., Schumacher, Martin.
Logistic regression with incompletely observed categorical covariates: A comparison of three approaches.
Biometrika
1993.
80:353-362
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Schmoor, Claudia, Ulm, Kurt, Schumacher, Martin.
Comparison of the Cox model and the regression tree procedure in analysing a randomized clinical trial.
Statistics in Medicine
1993.
12:2351-2366
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Olschewski, Manfred, Schumacher, Martin, Davis, Kathryn B..
Analysis of randomized and nonrandomized patients in clinical trials using the comprehensive cohort follow-up study design.
Controlled Clinical Trials
1992.
13:226-239
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Sauerbrei, Willi, Schumacher, Martin.
A bootstrap resampling procedure for model building: Application to the Cox regression model.
Statistics in Medicine
1992.
11:2093-2109
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Lausen, Berthold, Schumacher, Martin.
Maximally selected rank statistics.
Biometrics
1992.
48:73-85
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Schumacher, Martin, Sauerbrei, Willi.
A bootstrap resampling procedure for model building: Application to the cox regression model†.
Statistics in Medicine
1992.
11:2093-2109
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Schumacher, Martin, Olschewski, Manfred, Schulgen, Gabi.
Assessment of quality of life in clinical trials.
Statistics in Medicine
1991.
10:1915-1930
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Holtbrugge, Werner, Holtbruegge, Werner, Holtbrügge, Werner, Schumacher, Martin.
A comparison of regression models for the analysis of ordered categorical data.
Applied Statistics
1991.
40:249-259
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Gruger, Jens, Grueger, Jens, Grüger, Jens, Kay, Richard, Schumacher, Martin.
The validity of inferences based on incomplete observations in disease state models.
Biometrics
1991.
47:595-605
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Kubler, Jurgen, Kuebler, Juergen, Kübler, Jürgen, Schumacher, Martin.
Survival time models for analysing drug combination treatments.
Statistics in Medicine
1990.
9:1527-1539
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Schumacher, Martin, Olschewski, Manfred, Schmoor, Claudia.
The impact of heterogeneity on the comparison of survival times.
Statistics in Medicine
1987.
6:773-784
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Gill, Richard, Schumacher, Martin.
A simple test of the proportional hazards assumption.
Biometrika
1987.
74:289-300
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DeBoer, Frank, Schumacher, Martin.
Some algorithms for the distributions of nonparametric two-sample tests -- Considerations on complexity and empirical investigations. Part 2: Rank tests.
Statistical Software Newslette
1986.
12:28-33
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Kay, Richard, Schumacher, Martin.
Unbiased assessment of treatment effects on disease recurrence and survival in clinical trials.
Statistics in Medicine
1983.
2:41-58
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Schumacher, Martin.
Application of Cramer-von-Mises-and-Kolmogorov-Smirnov-type tests to randomly censored data (German).
EDV in Medizin und Biologie
1982.
13:83-86