Mitchell H Gail

发表

Design and analysis considerations for combining data from multiple biomarker studies

Molin Wang, Yue Song, Rebecca Betensky, 2018, Statistics in medicine.

Are hospitals "keeping up with the Joneses"?: Assessing the spatial and temporal diffusion of the surgical robot.

Huilin Li, Mitchell H Gail, Cary P Gross, 2013, Healthcare.

Comparison of approaches for incorporating new information into existing risk prediction models

Nilanjan Chatterjee, Sonja Grill, Mitchell H Gail, 2017, Statistics in medicine.

Piecewise exponential survival times and analysis of case‐cohort data

Dale L Preston, Jay H Lubin, Mitchell H Gail, 2012, Statistics in medicine.

On Mendelian randomization analysis of case‐control study

Jing Qin, Kai Yu, Mitchell H Gail, 2019, Biometrics.

Five-Year and Lifetime Risk of Breast Cancer among U.S. Subpopulations: Implications for Magnetic Resonance Imaging Screening

Andrew N Freedman, Mitchell H Gail, Barry I Graubard, 2010, Cancer Epidemiology, Biomarkers & Prevention.

Case–Control and Case‐Only Designs with Genotype and Family History Data: Estimating Relative Risk, Residual Familial Aggregation, and Cumulative Risk

Nilanjan Chatterjee, Mitchell H Gail, Zeynep Kalaylioglu, 2006, Biometrics.

Performance of BCRAT in high-risk patients with breast cancer.

Mitchell H Gail, 2019, The Lancet. Oncology.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.

Validation of a model of lung cancer risk prediction among smokers.

Kathleen A Cronin, Mitchell H Gail, Peter B Bach, 2006, Journal of the National Cancer Institute.

Excess Deaths Associated With Underweight, Overweight, and Obesity: An Evaluation of Potential Bias.

Mitchell H Gail, Katherine M Flegal, Barry I Graubard, 2005, Vital & health statistics. Series 3, Analytical and epidemiological studies.

Projecting individualized absolute invasive breast cancer risk in Asian and Pacific Islander American women.

Mitchell H Gail, Regina G Ziegler, David Pee, 2011, Journal of the National Cancer Institute.

Relationships between computer-extracted mammographic texture pattern features and BRCA1/2mutation status: a cross-sectional study

Hui Li, Li Lan, Claudia Giambartolomei, 2014, Breast Cancer Research.

Personalized estimates of breast cancer risk in clinical practice and public health

Mitchell H Gail, M. Gail, 2011, Statistics in medicine.

Risk factor modification and projections of absolute breast cancer risk.

Adriano Decarli, Mitchell H Gail, Ruth M Pfeiffer, 2011, Journal of the National Cancer Institute.

Haplotype analysis in population genetics and association studies.

Hongyu Zhao, Ruth Pfeiffer, Mitchell H Gail, 2003, Pharmacogenomics.

Sample size calculations for population‐ and family‐based case‐control association studies on marker genotypes

Mitchell H Gail, Ruth M Pfeiffer, M. Gail, 2003, Genetic epidemiology.

Comparison of asbestos exposure assessments by next-of-kin respondents, by an occupational hygienist, and by a job-exposure matrix from the National Occupational Hazard Survey.

Jun-mo Nam, Mitchell H Gail, M. Gail, 2005, American journal of industrial medicine.

On criteria for evaluating models of absolute risk.

Mitchell H Gail, Ruth M Pfeiffer, M. Gail, 2005, Biostatistics.

Average midrange ultraviolet radiation flux and time outdoors predict melanoma risk.

Mitchell H Gail, Allan Halpern, DuPont Guerry, 2002, Cancer research.

Gail model for prediction of absolute risk of invasive breast cancer: independent evaluation in the Florence-European Prospective Investigation Into Cancer and Nutrition cohort.

Stefano Calza, Adriano Decarli, Mitchell H Gail, 2006, Journal of the National Cancer Institute.

Multiple imputation methods for inference on cumulative incidence with missing cause of failure

Minjung Lee, Eric J Feuer, Kathleen A Cronin, 2011, Biometrical journal. Biometrische Zeitschrift.

Association Between BRCA1 and BRCA2 Mutations and Survival in Women With Invasive Epithelial Ovarian Cancer

Gord Glendon, Lesley McGuffog, Daniel Barrowdale, 2012 .

Improvements in US Breast Cancer Survival and Proportion Explained by Tumor Size and Estrogen-Receptor Status.

Mitchell H Gail, M. Gail, W. Anderson, 2015, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Validation of a colorectal cancer risk prediction model among white patients age 50 years and older.

Yikyung Park, Mitchell H Gail, Ruth M Pfeiffer, 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Estimation of effect size distribution from genome-wide association studies and implications for future discoveries

Nilanjan Chatterjee, Stephen J Chanock, Mitchell H Gail, 2010, Nature Genetics.

Cancer risk prediction models: a workshop on development, evaluation, and application.

Andrew N Freedman, Mitchell H Gail, Graham A Colditz, 2005, Journal of the National Cancer Institute.

Confirmation of family cancer history reported in a population-based survey.

Mitchell H Gail, Barry I Graubard, Mark H Greene, 2011, Journal of the National Cancer Institute.

Projecting Individualized Absolute Invasive Breast Cancer Risk in US Hispanic Women

Mitchell H Gail, David Pee, Mandi Yu, 2017, Journal of the National Cancer Institute.

Comparing breast cancer risk assessment models.

Mitchell H Gail, M. Gail, P. Mai, 2010, Journal of the National Cancer Institute.

Probability of detecting disease-associated single nucleotide polymorphisms in case-control genome-wide association studies.

William Wheeler, Mitchell H Gail, Ruth M Pfeiffer, 2008, Biostatistics.

Efficiency of DNA pooling to estimate joint allele frequencies and measure linkage disequilibrium

Joni L Rutter, Mitchell H Gail, Ruth M Pfeiffer, 2002, Genetic epidemiology.

Projecting individualized absolute invasive breast cancer risk in African American women.

Melissa Bondy, Giske Ursin, Mitchell H Gail, 2007, Journal of the National Cancer Institute.

Cancer in Korean war navy technicians: mortality survey after 40 years.

Patricia A Stewart, John D Boice, Mitchell H Gail, 2002, American journal of epidemiology.