Study Design and Data Analytics

Request for Services Form

The reconfigured Study Design and Data Analytics Facility Core (Data FC) provides intellectual and computational resources to plan, conduct, and analyze studies by continuing to support existing services, including:

  • Consultations on the design of observational, clinical, and experimental studies with an experienced epidemiologist;

  • Biostatistical consultations with one of three senior biostatisticians;

  • Data management.

The Core’s expanded expertise includes:

  • Statistical methods with genomics and epigenetics;

  • Multi-omics integration;

  • Training and guidance on handling and analyzing Geographical Information Systems (GIS) data;

  • Bayesian models;

  • Latent class methods;

  • Mixed effects models;

  • Clustering analyses;

  • Identifying, accessing, and analyzing the growing number of large data repositories in the public domain (“big” data).

The Core:

  • offers educational and training programs on the use of these methods;

  • assists with analysis and interpretation of data, and manuscript preparation;

  • fosters attention to the development of new methods/tools.

The unique combination of new and existing services in the Core will multiply opportunities and effectiveness in using the rich data that CEHNM members generate—as well as those already available in-house or in the public domain—to answer groundbreaking questions in environmental health research.

Core members have expertise on all aspects of research planning, including study design; measurement of exposures, covariates, and outcomes; data management; spatial and temporal analysis; statistical power calculations; and statistical analysis.

Core Director: prf1 [at] columbia.edu (Pam Factor-Litvak, PhD)

    Study Design Consultations:  prf1 [at] columbia.edu (Pam Factor-Litvak, PhD) and jlt12 [at] columbia.edu (J.L. Thompson, PhD)

    Biostatistics Consults:  qc2138 [at] cumc.columbia.edu (Qixuan Chen, PhD); bc2159 [at] cumc.columbia.edu (Bin Cheng, PhD); and sw2206 [at] columbia.edu (Shuang Wang, PhD)

    Data Management Leader:  jlt12 [at] columbia.edu (J.L. Thompson, PhD)

    Data Manager:  rb539 [at] columbia.edu (Richard Buchsbaum)
 

Description of Services

The goal of the Study Design and Data Analytics Facility Core is to respond to the growing need for using complex design and advanced computational methods and tools in environmental health sciences by providing a wide array of services to support the highly interdisciplinary research of the CEHNM. The Data FC is integrated into this new structure, which includes the Integrative Health Sciences Facility Core (IHSFC), the Exposure Assessment Facility Core, and the Study Design and Data Analytics Core (Data FC). Our investigators are extremely well set up for a highly effective pipeline of science that begins with the IHSFC being the port of entry and coordination with the other Facility Cores—including bringing in the Community Engagement Core for facilitating community-based participatory research approaches, when appropriate, or translating final results. In this pipeline, the Data FC will provide invaluable conceptual input in the study design and power calculations, data collection, and database support in the study’s first stages, followed with support for collecting, measuring, processing and storing environmental and biological samples, provided by the IHSFC and the Exposure Core. The Data FC then provides continued support with a unique array of data management, data analysis, and bioinformatics services, finally culminating in support for data interpretation, as well as results presentation and reporting. Investigators may elect to use all the services to fully support their studies or select only those needed to complement their expertise and research focus. For instance, basic scientists may greatly benefit from molecular/omic wet-lab services and bioinformatics, but may not be interested in specialized support for study design such as questionnaire design.  All services adhere to the NIH Rigor and Reproducibility Policy. 

Consults

Consults for Faculty Projects which fall within the Center:

  • Limited to 2 hours per project (approximately 30 minute initial consult, 1 hour of work, 30 minute final consult)

  • Information form requesting services should be submitted to Dr. Factor-Litvak, who will direct it to the appropriate biostatistician

  • Masters or doctoral level personnel will join initial consult with the biostatistician and will perform computations, checked by the biostatistician; final consult with biostatistician to review results

Grant applications:

Investigators are encouraged to add a biostatistician for adequate coverage on their proposals. This should be negotiated between the biostatistician and investigator, but for an R01, this generally means 10% in the start up phase, 5% in the data collection phase, and 20-25% in the analysis phase. When possible, investigators should also budget for a data analyst.

Consults for Pilot Project Proposals:

  • Information form should be submitted to Pam Factor-Litvak or the Center Administrator, along with a description of the proposal (either a draft or detailed outline)

  • Initial 1 hour consultation with Drs. Factor-Litvak and Thompson, and one of the senior biostatisticians

  • If necessary, an additional consult with Dr. Factor-Litvak can be requested

Other Services (outside the Center Data Analytics Core):

Currently being investigated for possible reduced rates for Center members and free or very reduced rates for pilot studies. Stay tuned for further website updates.