ABSTRACT
Prolapse or downward displacement of pelvic organs especially vagina, uterus and rectum is a common and disabling condition among women of menopausal age group. It affects their quality of life also. Displacement of vaginal anterior compartment results in cystocele. Quoting Acharya Susruta reference, the aim of this study is to find the efficacy of Tila taila yoni Abhya?ga in Cyuta avastha of Vasti with respect to first degree cystocele. 30 subjects were selected satisfying inclusion and exclusion criterias with the approval of Institutional ethical committee. Clinical evaluation is done with the help of relevant subjective and objective parameters. The subjective parameters were assessed before and after the treatment for a period of one month with UDI questionnaire and objective parameter with Baden-Walker system of grading Pelvic Organ Prolapse. Three months follow-up evaluation was also done with same parameters. The Wilcoxon Signed Rank Test is used to statically decompose the clinical data. Subjective parameters showed improvement of the condition viz frequency and urgency of urination, urine leakage with and without any activity, cough, sneeze, small amount of urine leakage, difficult and incomplete bladder emptying, bulging in vagina However, leakage not related to urgency, lower abdominal pressure, painful urination and lower abdomen or genital area, pelvic area heaviness or dullness, pelvic discomfort and burning micturition showed only a little reduction with the treatment. Objective parameter is also highly statistically significant at p value < 0.001.
ABSTRACT
Durations of any event, such as duration of hospitalization, is usually found to have a highly skewed distribution and incomplete values due to dropouts and limited follow-up. The usual methods of statistical analysis are, therefore, not applicable. The method of survival analysis is a nonparametric method and is designed to overcome these problems. Survival is a generic term and is used for any time-toevent data. The entire survival pattern at different points in time is studied by the Kaplan-Meier method under certain conditions. Logrank method is used to compare survival pattern in two or more groups. Hazard is the rate of occurrence of an event per unit of time and studied by Cox method. The concept of survival and all these methods of survival analysis are briefly discussed in this short note in a non-mathematical format for medical audience.
ABSTRACT
The purpose of this article was to introduce the likelihood ratio test， six nonparametric tests， and the SAS implementation of the survival data. Based on the assumption that the survival data had the exponential distribution， the likelihood ratio test method was derived， the main difference between six nonparametric test methods was that they had different weight functions. Under the conditions of non-stratification and stratification， the seven survival data hypothesis testing methods mentioned above could be used， and their common point was that their test statistics all followed the χ2 distribution. Through two examples and by means of the SAS software， the article realized the various hypothesis tests for two or more groups of survival data， outputed and explained SAS calculation results， and made statistical and professional conclusions.
ABSTRACT
The purpose of this article was to introduce the log-rank test and the SAS implementation. There were many different expression forms for the test statistics of the log-rank tests. Among them， there were two most common expression forms： the first was similar to "Pearson΄s goodness-of-fit χ2 test statistic"； the second was similar to "the test statistic of the odds ratio of high-dimensional table data， that was， the Breslow-Day΄s χ2 test statistic". The log-rank test statistic had two distribution types， one was the χ2 distribution， the other was the standard normal distribution. In the process of constructing log-rank test statistics， there were four contents that needed to be paid attention to： ① the sequential multiple four-fold tables formed by stratification or partition after sorting according to the individual "survival time"； ② it was necessary to distinguish whether the "survival time of each individual" was the complete data or the censored data； ③ only the calculation of the "theoretical or expected frequency" on a specific grid ［for example， （1，1） grid］ in each four-fold table data； ④ the method of calculating the theoretical frequency was different from the one in the independent test of the data of the four-fold table. Based on two examples with the different data structures， the paper realized the log-rank tests with the help of the SAS software.
ABSTRACT
Background: Diabetes mellitus is a metabolic syndrome due to insulin deficiency, characterized by hyperglycaemia. Indian diabetes risk score (IDRS) is the most commonly used one to determine the risk status. However there is lot of inconvenience and possible errors in measuring the waist circumference to determine the IDRS, hence the study was planned to evaluate if neck circumference could replace waist circumference in determining the diabetes risk.Methods: This cross sectional study was conducted among 300 study participants fulfilling the eligible criteria. Socio-demographic variables, parameters required for determining the IDRS was assessed, in addition, neck circumference (NC) was measured using standard protocol. Another risk score was calculated by replacing waist circumference (WC) with neck circumference and scoring was named as IDRS-NC. Pearson correlation and Wilcoxan sign rank test was done to find out the relationship between WC and NC and also to determine if IDRS-NC could replace IDRS.Results: Out of 300 study population, majority of the participants are in the age group of <35 years 129 (43%) and around 2/3rd of the participants were females. Among the study participants proportion of participants belonging to low risk, medium risk and high risk assessed using IDRS and IDRS-NC was 18.7%, 41%, 40.3% and 31.7%, 38%, 30.3% respectively. There was a strong positive correlation (r=0.837) between the neck circumference and waist circumference. Wilcoxan sign rank test was significant between the 2 scores having a p value of <0.05.Conclusions: In our study there was a positive correlation between neck circumference and waist circumference.
ABSTRACT
Length of time is a variable often encountered during data analysis. Survival analysis provides simple, intuitive results concerning time-to-event for events of interest, which are not confined to death. This review introduces methods of analyzing time-to-event. The Kaplan-Meier survival analysis, log-rank test, and Cox proportional hazards regression modeling method are described with examples of hypothetical data.
Subject(s)
Methods , Sample Size , Statistics as Topic , Survival AnalysisABSTRACT
[Objective] Expressions of human epidermal growth factor receptor 2(HER-2),p53,estrogen receptor (ER),and progesterone receptor (PR) in tissues of breast invasive ductal carcinoma are not only applied to determine the therapeutic regimen,but they may also be related to the prognosis.We investigated the levels of these proteins among different clinical stages and the correlations.[Method] One hundred and thirty-eight tissues from cases with breast invasive ductal carcinoma were tested with immunohistochemistry.New scoring standards and rank test were applied.The indices were digitalized and semi-quantified.[Results] In the tissues from high clinical stage,the expression of HER2 was significantly increased,while expression of PR was markedly decreased.[Conclusion] Expression of HER2 and PR might be better markers for predicting clinical stages and prognosis.