An analysis of online content related to testosterone supplementation

Objective: To describe the quality of online information on testosterone replacement therapy (TRT) in men.

Methods: A quantitative content analysis was conducted on websites providing patient-directed information on TRT for the purpose of treating late onset hypogonadism (LOH). Websites were identified through Google in March 2017. The DISCERN instrument was used to determine the quality of health information.

Results: A total of 20 websites met inclusion criteria. Websites were primarily from the United States (45%), United Kingdom (25%), and Australia (15%). Sources of information were cited by 40% of websites. Several websites (40%) claimed that TRT had benefits, with 25% claiming that TRT was effective for treating LOH. TRT was described as a safe therapy by one website (5%), with gynecomastia (35%) and increased hematocrit (35%) representing the most commonly described side effects. Prostate specific antigen (35%) and serum testosterone monitoring (30%) were the most commonly described monitoring parameters. The mean DISCERN score was 46.4, indicating fair quality information. The Flesh–Kincaid Grade Level was 12.2.

Conclusion: Online TRT information is incomplete, often failing to describe important safety information and the need for regular monitoring.     

Using informative priors for handling missing data problem in Cox regression

The aim of this study is to determine the effect of informative priors for variables with missing value and to compare Bayesian Cox regression and Cox regression analysis. For this purpose, firstly simulated data sets with different sample size within different missing rate were generated and each of data sets were analysed by Cox regression and Bayesian Cox regression with informative prior. Secondly lung cancer data set as real data set was used for analysis. Consequently, using informative priors for variables with missing value solved the missing data problem.     

Remittances and well-being among rural-to-urban migrants in China

The main objective of this paper is to propose a systematic approach to empirically analyse the relationship between sending remittances and the utility of migrants, as proxied by their subjective well-being (SWB). Using data from a new survey on China, we estimate models in which a SWB measure is regressed on the level of remittances, finding a sizeable positive correlation. The estimates vary with the socio-economic characteristics of migrants, migration experience and the diversity of family arrangements. As a complementary objective, we use SWB measures to elicit the motivations behind remittances, finding evidence that both altruistic and contractual motivations are at work among rural-to-urban migrants in China.