Skip Navigation
Grant Details

Grant Number: 2P01CA134294-06 Interpret this number
Primary Investigator: Lin, Xihong
Organization: Harvard School Of Public Health
Project Title: Statistical Informatics for Cancer Research
Fiscal Year: 2013
Back to top


Abstract

This renewal application proposes to carry out a Program Project of statistical methods research to address gaps and barriers arising in the analysis of large and complex data from observational studies in cancer research. The ultimate goal of the Program is to use rich data sources to develop effective strategies for reducing cancer burden in the U.S. and improving longevity and quality of life. This Program Project comprises three research projects and two cores. The three integrated projects jointly address the statistical needs for three research priority areas identified by the Division of Cancer Contro and Population Science of National Cancer Institute: Health Disparities; Comparative Effectiveness Research; and Public Health Genomics. In Project 1, we will develop statistical methods to overcome common data limitations for the investigation of social and racial disparities spanning the cancer continuum. We will analyze data from the SEER database that is linked with data from the National Longitudinal Mortality Survey (NLMS). In Project 2, we will develop methods for comparative effectiveness research (CER) in cancer using large observational data. We will use the SEER-Medicare data and the CaPSURE cohort to emulate complex randomized trials to compare the effectiveness of personalized strategies for cancer diagnosis and dynamic strategies for cancer treatment. In Project 3, we will develop statistical methods for analysis of next generation sequencing data in genetic cancer epidemiological studies. The proposed research in Project 3 is motivated by and applied to the Harvard lung cancer and breast cancer exome and targeted sequencing studies as well as the affiliated Genome-Wide Association Studies. The Administrative Core will coordinate the overall scientific direction and programmatic activities of the Program, which will include regular P01 meetings, seminars, the annual retreat, the external advisory committee meeting, short courses, a visitor program, dissemination of research results. The Statistical Computing Core will allow access to Harvard largest high performance computing cluster, perform data management, and ensure the development and dissemination of open access, high quality software. The Program PIs, Professors Xihong Lin and Francesca Dominici, are renowned biostatisticians with strong track records of methodological and collaborative research and academic administration.

Back to top


Publications

Bayesian Semi-parametric Analysis of Semi-competing Risks Data: Investigating Hospital Readmission after a Pancreatic Cancer Diagnosis.
Authors: Lee KH, Haneuse S, Schrag D, Dominici F
Source: J R Stat Soc Ser C Appl Stat, 2015 Feb 1;64(2), p. 253-273.
PMID: 25977592
Related Citations

Back to top


Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models.
Authors: Wang C, Dominici F, Parmigiani G, Zigler CM
Source: Biometrics, 2015 Apr 20;null, p. null.
EPub date: 2015 Apr 20.
PMID: 25899155
Related Citations

Back to top


Immediate versus deferred initiation of androgen deprivation therapy in prostate cancer patients with PSA-only relapse. An observational follow-up study.
Authors: Garcia-Albeniz X, Chan JM, Paciorek A, Logan RW, Kenfield SA, Cooperberg MR, Carroll PR, Hernán MA
Source: Eur J Cancer, 2015 May;51(7), p. 817-24.
EPub date: 2015 Mar 17.
PMID: 25794605
Related Citations

Back to top


Reproductive justice and the pace of change: socioeconomic trends in US infant death rates by legal status of abortion, 1960-1980.
Authors: Krieger N, Gruskin S, Singh N, Kiang MV, Chen JT, Waterman PD, Gottlieb J, Beckfield J, Coull BA
Source: Am J Public Health, 2015 Apr;105(4), p. 680-2.
EPub date: 2015 Feb 25.
PMID: 25713932
Related Citations

Back to top


Alternative decompositions for attributing effects to interactions.
Authors: VanderWeele TJ, Tchetgen Tchetgen EJ
Source: Epidemiology, 2015 May;26(3), p. e32-4.
PMID: 25674728
Related Citations

Back to top


SAS macro for causal mediation analysis with survival data.
Authors: Valeri L, VanderWeele TJ
Source: Epidemiology, 2015 Mar;26(2), p. e23-4.
PMID: 25643116
Related Citations

Back to top


Think globally, act globally: An epidemiologist's perspective on instrumental variable estimation.
Authors: Swanson SA, Hernán MA
Source: Stat Sci, 2014 Aug;29(3), p. 371-374.
PMID: 25580054
Related Citations

Back to top


Cause-specific risk of hospital admission related to extreme heat in older adults.
Authors: Bobb JF, Obermeyer Z, Wang Y, Dominici F
Source: JAMA, 2014 Dec 24-31;312(24), p. 2659-67.
PMID: 25536257
Related Citations

Back to top


Short-term airborne particulate matter exposure alters the epigenetic landscape of human genes associated with the mitogen-activated protein kinase network: a cross-sectional study.
Authors: Carmona JJ, Sofer T, Hutchinson J, Cantone L, Coull B, Maity A, Vokonas P, Lin X, Schwartz J, Baccarelli AA
Source: Environ Health, 2014 Nov 13;13, p. 94.
EPub date: 2014 Nov 13.
PMID: 25395096
Related Citations

Back to top


Association between the Medicare hospice benefit and health care utilization and costs for patients with poor-prognosis cancer.
Authors: Obermeyer Z, Makar M, Abujaber S, Dominici F, Block S, Cutler DM
Source: JAMA, 2014 Nov 12;312(18), p. 1888-96.
PMID: 25387186
Related Citations

Back to top


Why post-progression survival and post-relapse survival are not appropriate measures of efficacy in cancer randomized clinical trials.
Authors: García-Albéniz X, Maurel J, Hernán MA
Source: Int J Cancer, 2015 May 15;136(10), p. 2444-7.
EPub date: 2014 Nov 3.
PMID: 25333417
Related Citations

Back to top


Learning how to improve healthcare delivery: the Swedish Quality Registers.
Authors: Adami HO, Hernán MA
Source: J Intern Med, 2015 Jan;277(1), p. 87-9.
EPub date: 2014 Nov 24.
PMID: 25270255
Related Citations

Back to top


On the analysis of hybrid designs that combine group- and individual-level data.
Authors: Smoot E, Haneuse S
Source: Biometrics, 2015 Mar;71(1), p. 227-36.
EPub date: 2014 Sep 22.
PMID: 25251477
Related Citations

Back to top


Evaluation of the duplication of staging CT scans for localized colon cancer in a Medicare population.
Authors: García-Albéniz X, Logan RW, Schrag D, Hernán MA
Source: Med Care, 2014 Nov;52(11), p. 963-8.
PMID: 25226545
Related Citations

Back to top


Mediation analysis when a continuous mediator is measured with error and the outcome follows a generalized linear model.
Authors: Valeri L, Lin X, VanderWeele TJ
Source: Stat Med, 2014 Dec 10;33(28), p. 4875-90.
EPub date: 2014 Sep 14.
PMID: 25220625
Related Citations

Back to top


Sparse kernel machine regression for ordinal outcomes.
Authors: Shen Y, Liao KP, Cai T
Source: Biometrics, 2015 Mar;71(1), p. 63-70.
EPub date: 2014 Sep 5.
PMID: 25196727
Related Citations

Back to top


Effect of flexible sigmoidoscopy screening on colorectal cancer incidence and mortality: a randomized clinical trial.
Authors: Holme Ř, Lřberg M, Kalager M, Bretthauer M, Hernán MA, Aas E, Eide TJ, Skovlund E, Schneede J, Tveit KM, Hoff G
Source: JAMA, 2014 Aug 13;312(6), p. 606-15.
PMID: 25117129
Related Citations

Back to top


Improving the power of genetic association tests with imperfect phenotype derived from electronic medical records.
Authors: Sinnott JA, Dai W, Liao KP, Shaw SY, Ananthakrishnan AN, Gainer VS, Karlson EW, Churchill S, Szolovits P, Murphy S, Kohane I, Plenge R, Cai T
Source: Hum Genet, 2014 Nov;133(11), p. 1369-82.
EPub date: 2014 Jul 26.
PMID: 25062868
Related Citations

Back to top


Attributing effects to interactions.
Authors: VanderWeele TJ, Tchetgen Tchetgen EJ
Source: Epidemiology, 2014 Sep;25(5), p. 711-22.
PMID: 25051310
Related Citations

Back to top


A unification of mediation and interaction: a 4-way decomposition.
Authors: VanderWeele TJ
Source: Epidemiology, 2014 Sep;25(5), p. 749-61.
PMID: 25000145
Related Citations

Back to top


Rare-variant association analysis: study designs and statistical tests.
Authors: Lee S, Abecasis GR, Boehnke M, Lin X
Source: Am J Hum Genet, 2014 Jul 3;95(1), p. 5-23.
PMID: 24995866
Related Citations