http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/719 2025-10-30T07:25:43Z 2025-10-30T07:25:43Z Lalpawimawha http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/727 2024-06-14T08:45:02Z 2016-01-01T00:00:00Z

Title: A Case-Control Study of Alcohol Consumption and Esophageal Cancer in the Northeast State of Mizoram, India Authors: Lalpawimawha Abstract: Summary: Esophageal cancer is one of the main health issues in Mizoram. The risk factors of the disease are related to consumption of alcohol. There have not been any epidemiological studies on this subject in the state. The aim of the study is to assess the relationship between esophageal cancer and consumption of alcohol. Materials and Methods: A hospital based matched case-control study was conducted comprising of 138 cases with histologically confirmed diagnosis of esophageal cancer and 276 controls that were cancer and esophageal cancer disease free. Cases and controls matched by gender and age (± 5 years). Ratio of cases and controls were 1:2. A questionnaire was used to collect information on possible risk factors of esophageal cancer. The odds ratios (OR) and 95% confidence intervals (CI) for gastric cancer were calculated by a conditional logistic regression. Results: Cases had significantly lower education level. Most of the cases are from middle income class. After adjustment for consumption of betel quid, tobacco, smoking, body mass index (BMI), family history of cancer, education level and income level, higher risk of esophageal cancer was found for those who have the habit of consuming alcohol in the morning. After controlling for consumption of betel quid, tobacco, smoking, body mass index (BMI), family history of cancer, education level, income level, dietary habits, physical activity, consumption of Zu(locally brewed alcohol) and both Zu(locally brewed alcohol) and commercial alcohol(rum, whisky, vodka and beer, etc) are also associated with higher risk of esophageal cancer (O.R = 9.820, 95% CI = 2.029-47.523).

2016-01-01T00:00:00Z Lalpawimawha http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/726 2024-06-14T08:42:00Z 2020-01-01T00:00:00Z

Title: A Mixture Shared Frailty Model based on Log-logistic Baseline Distribution Authors: Lalpawimawha Abstract: Frailty model is a survival model designed to account for unobserved heterogeneity in the population. In this paper, we propose a new shared frailty model based on log-logistic as baseline distribution. The Bayesian approach of Markov Chain Monte Carlo (MCMC) technique was employed to estimate the parameters involved in the models. A simulation study was performed to compare the true values and the estimated values of the parameters. Comparison of different proposed models was done by using Bayesian comparison techniques. We apply to real life data set related to kidney infection due to insertion of catheter and the better model is suggested.

2020-01-01T00:00:00Z Lalpawimawha http://pucir.inflibnet.ac.in:8080/jspui/handle/123456789/725 2024-06-14T08:38:23Z 2020-01-01T00:00:00Z

Title: A Mixture Shared Inverse Gaussian Frailty Model under Modi ed Weibull Baseline Distribution Authors: Lalpawimawha Abstract: Frailty models are used in the survival analysis to account for the unobserved hetero- geneity in individual risks to disease and death. To analyze the bivariate data on related survival times (e.g. matched pairs experiments, twin or family data), the shared frailty models were suggested. In this manuscript, we propose a new mixture shared inverse Gaussian frailty model based on modi ed Weibull as baseline distribution. The Bayesian approach of Markov Chain Monte Carlo technique is employed to estimate the parameters involved in the models. In addition, a simulation study is performed to compare the true values of the parameters with the estimated values. A comparison with the existing model was done by using Bayesian comparison techniques. A better model for infectious disease data related to kidney infection is suggested.

2020-01-01T00:00:00Z