scholarly journals Network-based regularization for matched case-control analysis of high-dimensional DNA methylation data

2012 ◽  
Vol 32 (12) ◽  
pp. 2127-2139 ◽  
Author(s):  
Hokeun Sun ◽  
Shuang Wang
Keyword(s):  
Dna Methylation ◽  
Case Control ◽  
High Dimensional ◽  
Control Analysis ◽  
Methylation Data ◽  
Matched Case ◽  
Case Control Analysis

scholarly journals Matched Forest: supervised learning for high-dimensional matched case–control studies

2019 ◽  
Author(s):  
Nooshin Shomal Zadeh ◽  
Sangdi Lin ◽  
George C Runger
Keyword(s):  
Variable Selection ◽  
Case Control ◽  
Supplementary Information ◽  
High Dimensional ◽  
Control Analysis ◽  
Case Control Studies ◽  
Control Data ◽  
Matched Case ◽  
Case Control Analysis ◽  
And Control

Abstract Motivation Matched case–control analysis is widely used in biomedical studies to identify exposure variables associated with health conditions. The matching is used to improve the efficiency. Existing variable selection methods for matched case–control studies are challenged in high-dimensional settings where interactions among variables are also important. We describe a quite different method for high-dimensional matched case–control data, based on the potential outcome model, which is not only flexible regarding the number of matching and exposure variables but also able to detect interaction effects. Results We present Matched Forest (MF), an algorithm for variable selection in matched case–control data. The method preserves the case and control values in each instance but transforms the matched case–control data with added counterfactuals. A modified variable importance score from a supervised learner is used to detect important variables. The method is conceptually simple and can be applied with widely available software tools. Simulation studies show the effectiveness of MF in identifying important variables. MF is also applied to data from the biomedical domain and its performance is compared with alternative approaches. Availability and implementation R code for implementing MF is available at https://github.com/NooshinSh/Matched_Forest. Supplementary information Supplementary data are available at Bioinformatics online.

Influence of Prognostic Risk Indicators on Osseointegrated Dental Implant Failure: A Matched Case-Control Analysis

2012 ◽  
Vol 38 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Rami Alissa ◽  
Richard J. Oliver
Keyword(s):  
Dental Implant ◽  
Case Control ◽  
Implant Failure ◽  
Risk Indicators ◽  
Therapeutic Modality ◽  
Control Analysis ◽  
Wide Diameter ◽  
Related Risk ◽  
Matched Case ◽  
Case Control Analysis

Dental implant treatment is an important therapeutic modality with documented long-term success for replacement of missing teeth. However, dental implants can be susceptible to disease conditions or healing complications that may lead to implant loss. This case-control study identified several risk indicators associated with failure such as smoking and alcohol consumption. The use of postoperative antibiotics or wide-diameter implants may significantly reduce implant failure. Knowledge of patient-related risk factors may assist the clinician in proper case selection and treatment planning.

scholarly journals Life-threatening alcohol-related traffic crashes in adverse weather: a double-matched case–control analysis from Canada

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e024415 ◽  
Author(s):  
Donald A Redelmeier ◽  
Fizza Manzoor
Keyword(s):  
Relative Risk ◽  
Case Control ◽  
Additional Patient ◽  
Control Analysis ◽  
Drinking And Driving ◽  
Traffic Crash ◽  
Adverse Weather ◽  
Life Threatening ◽  
Matched Case ◽  
Case Control Analysis

ImportanceDrunk driving is a major cause of death in North America, yet physicians rarely counsel patients on the risks of drinking and driving.ObjectiveTo test whether the risks of a life-threatening alcohol-related traffic crash were further accentuated by adverse weather.DesignDouble matched case–control analysis of hospitalised patients.SettingCanada’s largest trauma centre between 1 January 1995 and 1 January 2015.ParticipantsPatients hospitalised due to a life-threatening alcohol-related traffic crash.ExposureRelative risk of a crash associated with adverse weather estimated by evaluating the weather at the place and time of the crash (cases) compared with the weather at the same place and time a week earlier and a week later (controls).ResultsA total of 2088 patients were included, of whom the majority were drivers injured at night. Adverse weather prevailed among 312 alcohol-related crashes and was significantly more frequent compared with control circumstances. The relative risk of a life-threatening alcohol-related traffic crash was 19% higher during adverse weather compared with normal weather (95% CI: 5 to 35, p=0.006). The absolute increase in risk amounted to 43 additional crashes, extended to diverse groups of patients, applied during night-time and daytime, contributed to about 793 additional patient-days in hospital and was distinct from the risks for drivers who were negative for alcohol.ConclusionsAdverse weather was associated with an increased risk of a life-threatening alcohol-related traffic crash. An awareness of this risk might inform warnings to patients about traffic safety and counselling alternatives to drinking and driving.

Morbidity of Staged Proctectomy After Hepatectomy for Colorectal Cancer: A Matched Case–Control Analysis

2012 ◽  
Vol 20 (2) ◽  
pp. 482-490 ◽  
Author(s):  
Ching-Wei D. Tzeng ◽  
Thomas A. Aloia ◽  
Jean-Nicolas Vauthey ◽  
George J. Chang ◽  
Lee M. Ellis ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Case Control ◽  
Control Analysis ◽  
Matched Case ◽  
Case Control Analysis

Does Partial Cystectomy Compromise Oncologic Outcomes for Patients with Bladder Cancer Compared to Radical Cystectomy? A Matched Case-Control Analysis

2012 ◽  
Vol 188 (4) ◽  
pp. 1115-1119 ◽  
Author(s):  
John J. Knoedler ◽  
Stephen A. Boorjian ◽  
Simon P. Kim ◽  
Christopher J. Weight ◽  
Prabin Thapa ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Radical Cystectomy ◽  
Case Control ◽  
Partial Cystectomy ◽  
Oncologic Outcomes ◽  
Control Analysis ◽  
Matched Case ◽  
Case Control Analysis

Postmastectomy Radiation and Mortality in Women With T1-2 Node-Positive Breast Cancer

2005 ◽  
Vol 23 (7) ◽  
pp. 1409-1419 ◽  
Author(s):  
Benjamin D. Smith ◽  
Grace L. Smith ◽  
Bruce G. Haffty
Keyword(s):  
Breast Cancer ◽  
Case Control ◽  
Control Analysis ◽  
Regional Lymph Nodes ◽  
Node Positive ◽  
Specific Mortality ◽  
Matched Case ◽  
Case Control Analysis ◽  
The Relationship ◽  
Positive Breast Cancer

Purpose To determine the relationship between postmastectomy radiotherapy (PMRT) and mortality in a population-based cohort of women with T1-2 node-positive breast cancer. Patients and Methods Using data from the Surveillance, Epidemiology, and End Results program, we identified 18,038 women with T1-2 node-positive invasive breast cancer who were treated with mastectomy between 1988 and 1995. The relationship between PMRT and mortality was determined using proportional hazards multivariate modeling and propensity score matched case-control analysis. Results Median follow-up was 8.1 years. Only 2,648 women (15%) received PMRT. After adjusting for covariates, PMRT use was not associated with mortality (hazard ratio [HR] = 0.96; 95% CI, 0.90 to 1.03). However, the interaction term for PMRT use and number of involved regional lymph nodes was significant (P = .002), suggesting that, above a certain threshold of involved nodes, a mortality benefit from PMRT may exist. Adjusted analysis stratified by number of involved nodes revealed that patients with seven or more involved nodes treated with PMRT experienced a significant reduction in all-cause (HR = 0.84; 95% CI, 0.76 to 0.93) and cause-specific mortality (HR = 0.86; 95% CI, 0.77 to 0.96). Propensity score matched case-control analysis confirmed that PMRT was associated with reduced mortality only in the subset of patients with seven or more involved nodes (HR = 0.81; 95% CI, 0.73 to 0.91 for all-cause mortality; and HR = 0.82; 95% CI, 0.72 to 0.93 for cause-specific mortality). Conclusion For women with T1-2 breast cancer, PMRT is associated with a 15% to 20% relative reduction in mortality for patients with seven or more involved regional lymph nodes.

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