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Zamanian,\ A.*\ ; Ahmidi,\ N.\ ; Drton,\ M.*
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Assessable and interpretable sensitivity analysis in the pattern graph framework for nonignorable missingness mechanisms.
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Stat. Med. 42, 5419-5450 (2023)
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Mishra,\ A.K.*\ ; Müller,\ C.L.
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Negative binomial factor regression with application to microbiome data analysis.
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Stat. Med. 41, 2786-2803 (2022)
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Simonetto,\ C.\ ; Rospleszcz,\ S.\ ; Heier,\ M.\ ; Meisinger,\ C.\ ; Peters,\ A.\ ; Kaiser,\ J.C.
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Simulating the dynamics of atherosclerosis to the incidence of myocardial infarction, applied to the KORA population.
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Stat. Med. 40, 3299-3312 (2021)
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Sommer,\ A.\ ; Leray,\ E.*\ ; Lee,\ Y.*\ ; Bind,\ M.A.C.*
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Assessing environmental epidemiology questions in practice with a causal inference pipeline: An investigation of the air pollution-multiple sclerosis relapses relationship.
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Stat. Med. 40, 1321-1335 (2021)
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Kurz,\ C.F.\ ; Hatfield,\ L.A.*
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Identifying and interpreting subgroups in health care utilization data with count mixture regression models.
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Stat. Med. 38, 4423-4435 (2019)
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Köhler,\ M.\ ; Umlauf,\ N.*\ ; Greven,\ S.*
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Nonlinear association structures in flexible Bayesian additive joint models.
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Stat. Med. 37, 4771-4788 (2018)
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Gong,\ G.*\ ; Quante,\ A.S.\ ; Terry,\ M.B.*\ ; Whittemore,\ A.S.*
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Assessing the goodness of fit of personal risk models.
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Stat. Med. 33, 3179-3190 (2014)
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Hess,\ W.*\ ; Schwarzkopf,\ L.\ ; Hunger,\ M.\ ; Holle,\ R.
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Competing-risks duration models with correlated random effects: An application to dementia patients\' transition histories.
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Stat. Med. 33, 3919-3931 (2014)
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Rapsomaniki,\ E.*\ ; White,\ I.R.*\ ; Wood,\ A.M.*\ ; Thompson,\ S.G.*\ ; Emerging Risk Factors Collaboration (Döring,\ A. ; Meisinger,\ C.)
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A framework for quantifying net benefits of alternative prognostic models.
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Stat. Med. 31, 114-130 (2012)
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Finner,\ H.*\ ; Strassburger,\ K.*\ ; Heid,\ I.M.\ ; Herder,\ C.*\ ; Rathmann,\ W.*\ ; Giani,\ G.*\ ; Dickhaus,\ T.*\ ; Lichtner,\ P.\ ; Meitinger,\ T.\ ; Wichmann,\ H.-E.\ ; Illig,\ T.\ ; Gieger,\ C.
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How to link call rate and p-values for Hardy-Weinberg equilibrium as measures of genome-wide SNP data quality.
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Stat. Med. 29, 2347-2358 (2010)
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Barnett,\ A.G.*\ ; Dobson,\ A.J.*\ ; WHO MONICA Project (Löwel,\ H. ; Hörmann,\ A. ; Gostomzyk,\ J.G. ; Bolte,\ H.-D.)
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Estimating trends and seasonality in coronary heart disease.
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Stat. Med. 23, 3505-3523 (2004)
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Kaiser,\ J.C.\ ; Heidenreich,\ W.F.
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Comparing regression methods for the two-stage clonal expansion model of carcinogenesis.
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Stat. Med. 23, 3333-3350 (2004)
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Heid,\ I.M.\ ; Küchenhoff,\ H.*\ ; Wellmann,\ J.\ ; Gerken,\ M.\ ; Kreienbrock,\ L.*\ ; Wichmann,\ H.-E.
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On the potential of measurement error to induce differential bias on odds ratio estimates : An example from radon epidemiology.
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Stat. Med. 21, 3261-3278 (2002)
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Heidenreich,\ W.F.\ ; Wellmann,\ J.\ ; Jacob,\ P.\ ; Wichmann,\ H.-E.
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Mechanistic modelling in large case-control studies of lung cancer risk from smoking.
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Stat. Med. 21, 3055-3070 (2002)
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Hauptmann,\ M.\ ; Lubin,\ J.H.*\ ; Rosenberg,\ P.*\ ; Wellmann,\ J.*\ ; Kreienbrock,\ L.*
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The use sliding time windows for the exploratory analysis of temporal effects of smoking histories on lung cancer risk.
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Stat. Med. 19, 2185-2194 (2000)
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Reitmeir,\ P.\ ; Wassmer,\ G.*
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Resampling-based methods for the analysis of multiple endpoints in clinical trials.
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Stat. Med. 18, 3453-3462 (1999)
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Lehmacher,\ W.
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Analysis of the Crossover Design in the Presence of Residual Effects.
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Stat. Med. 10:891-899 (1991)
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Lehmacher,\ W.
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Analysis of the crossover design in the presence of residual effects.
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Stat. Med. 10, 891-899 (1991)
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