No abstract available.
Population Characteristics*

No abstract available.
Population Characteristics*

No abstract available.
Population Characteristics*

It is interested in examining treatment effect on a particular category of subjects or in comparing treatment effects among different subgroups as well as overall treatment effect due to heterogeneity of study subjects. Subgroup analyses are exceedingly common, but they are also often misleading. Conclusions based on subgroup analyses can do harm both when a particular category of people is denied effective treatment (a "false-negative" conclusion), and when ineffective or even harmful treatment is given to a subgroup of people (a "false-positive" conclusion). Because of the frequency and the importance of clinical application of subgroup analysis, researchers need to be cautious about doing subgroup analyses. This study presents guidelines to help conducting subgroup analyses correctly.
Population Characteristics

No abstract available.
Population Characteristics

Background: Numerous approaches have been taken to reduce mental health issues in the population. However, mental health problems are still arising in the population, and one of the main factors is discrimination towards the mentally ill patient. This issue is inhibiting people from seeking help. This study aimed to assess community discrimination towards people with mental illness and factors affecting it. Methods: A cross-sectional study was conducted with a total of 840 respondents (420 males and 420 females) from Sarawak, Malaysia aged 21 years and above. Samples were selected by gender-stratified multistage sampling. Collection of data was done using a pre-tested questionnaire to assess the discrimination towards mental illness via face-to-face interviews. A multiple linear regression analysis was conducted to determine the factors affecting community discrimination towards mental illness. Results: Multiple linear regression analysis revealed that aged between 40 to 49 years old (p = 0.004), aged between 50 to 59 years old (p < 0.001), female respondents (p = 0.014) and having no experience with the mentally ill patient (p < 0.001) appeared to be predictors for discrimination towards mental illness. The model significantly explained 6.6% of variance of discrimination score (F (10,829) = 6.91, p < 0.001). Conclusion The findings suggested that community discrimination towards people with mental illness are still common in the rural population. Effective strategies to combat discrimination will need to be organised and implemented at the community level. Further research on this study in different settings is suggested to understand the associated factors better.
Residence Characteristics

No abstract available.
Parturition* ; Seasons* ; Sex Characteristics*

The Mechanism for sorting out the covariance effect is known as the covariance analysis. The sorting out of regression and correlation effect is an obvious application of the covariance analysis. The result of Do population by age groups (15 age interval) from 1966 census and from, 1970 Census has been applied to analyzing covariabiltiy by the analysis of covariance. The results are as follows. The significance of the regression of 1970 population on 1966 population is assured as F=116.5. There is a significant difference between mean of each age groups(F=88.1). There is very little evidence of significant heterogeneity of regression between age group. (F=0.72).
Censuses ; Humans ; Population Characteristics

There have been a few reports of familial anorectal malformations extending over more than one generation. We experienced a case of a family with 3 members spanning 2 generations affected with isolated low type anorectal malformations. They had same low type of anorectal malformations. In all 3 patients, a perianal anoplasty was performed.
Family Characteristics ; Humans

Congenital miosis is observed in 4 members of a family in two generations. One of them has a right miotic eye and a left normal eye. Others have bilateral miotic eyes.
Family Characteristics ; Humans ; Miosis*