Health research often gives rise to data that follow lognormal distributions. In two sample situations, researchers are likely to be interested in estimating the difference or ratio of the population means. Several methods have been proposed for providing confidence intervals for these parameters. However, it is not clear which techniques are most appropriate, or how their performance might vary. Additionally, methods for the difference of means have not been adequately explored. We discuss in the present article five methods of analysis. These include two methods based on the log-likelihood ratio statistic and a generalized pivotal approach. Additionally, we provide and discuss the results of a series of computer simulations. Finally, the ...
This paper considers several confidence intervals for estimating the population coefficient of varia...
Motivated by the recent work of Herbert, Hayen, Macaskill and Walter [Interval estimation for the di...
The log-rank test is widely used to compare two survival distributions in a randomized clinical tria...
We discuss in this article methods for analyzing lognormal data that may include zeros. Specifically...
Existing methods for comparing the means of two independent skewed log-normal distributions do not p...
The statistical analysis for comparing the means of two independent log-normal distribution is often...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
The log-normal distribution is a popular model in many areas, especially in biostatistics and surviv...
Lognormal distribution has many applications. The past research papers concentrated on the estimatio...
Confidence intervals for a difference between lognormal means in cluster randomization trials Julia ...
Lognormal distribution is widely used in scientific field, such as agricultural, entomological, biol...
In this paper we gave an Edgeworth expansion for the studentized difference of two binomial proporti...
Confidence intervals for the mean of one sample and the difference in means of two independent sampl...
This paper focuses on interval estimation in logistic regression models fitted through the Firth pe...
We first consider confidence intervals for a normal percentile, an exponential percentile and a unif...
This paper considers several confidence intervals for estimating the population coefficient of varia...
Motivated by the recent work of Herbert, Hayen, Macaskill and Walter [Interval estimation for the di...
The log-rank test is widely used to compare two survival distributions in a randomized clinical tria...
We discuss in this article methods for analyzing lognormal data that may include zeros. Specifically...
Existing methods for comparing the means of two independent skewed log-normal distributions do not p...
The statistical analysis for comparing the means of two independent log-normal distribution is often...
Percentiles are used everyday in descriptive statistics and data analysis. In real life, many quanti...
The log-normal distribution is a popular model in many areas, especially in biostatistics and surviv...
Lognormal distribution has many applications. The past research papers concentrated on the estimatio...
Confidence intervals for a difference between lognormal means in cluster randomization trials Julia ...
Lognormal distribution is widely used in scientific field, such as agricultural, entomological, biol...
In this paper we gave an Edgeworth expansion for the studentized difference of two binomial proporti...
Confidence intervals for the mean of one sample and the difference in means of two independent sampl...
This paper focuses on interval estimation in logistic regression models fitted through the Firth pe...
We first consider confidence intervals for a normal percentile, an exponential percentile and a unif...
This paper considers several confidence intervals for estimating the population coefficient of varia...
Motivated by the recent work of Herbert, Hayen, Macaskill and Walter [Interval estimation for the di...
The log-rank test is widely used to compare two survival distributions in a randomized clinical tria...