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Sedimentation method, a good alternative to centrifugation for concentration of acid fast bacilli in developing countries: A preliminary study from western Uttar Pradesh
Pandey A,Asthana A
Indian Journal of Medical Microbiology , 2009,
Abstract:
Hematology of a cat fishRita rita (Ham)
A K Pandey,K C Pandey
- , 1977,
Abstract:
Status of children in east Delhi: Care during delivery, immunization and occurrence of some acute diseases
Gupta R,Pandey A
Indian Journal of Community Medicine , 2007,
Abstract:
Spontaneous spinal extradural haematoma.
Tewari M,Pandey A
Neurology India , 1999,
Abstract:
Attributing death to cancer: cause-specific survival estimation.
Mathew A,Pandey M
Journal of Postgraduate Medicine , 2002,
Abstract: Cancer survival estimation is an important part of assessing the overall strength of cancer care in a region. Generally, the death of a patient is taken as the end point in estimation of overall survival. When calculating the overall survival, the cause of death is not taken into account. With increasing demand for better survival of cancer patients it is important for clinicians and researchers to know about survival statistics due to disease of interest, i.e. net survival. It is also important to choose the best method for estimating net survival. Increase in the use of computer programmes has made it possible to carry out statistical analysis without guidance from a bio-statistician. This is of prime importance in third- world countries as there are a few trained bio-statisticians to guide clinicians and researchers. The present communication describes current methods used to estimate net survival such as cause-specific survival and relative survival. The limitation of estimation of cause-specific survival particularly in India and the usefulness of relative survival are discussed. The various sources for estimating cancer survival are also discussed. As survival-estimates are to be projected on to the population at large, it becomes important to measure the variation of the estimates, and thus confidence intervals are used. Rothman′s confidence interval gives the most satisfactory result for survival estimate.
Metabolic disease in Nepal: A perspective
A S Pandey
Kathmandu University Medical Journal , 2010, DOI: 10.3126/kumj.v8i3.6224
Abstract: Inborn errors of metabolism or metabolic diseases, are a group of genetically determined metabolic disorders that result in mental retardation or early death. The prevalence of IEM in various countries shows a prevalence varying between 1 in 800 to 1 in 5000. As the technology for detecting metabolites has become more advanced, studies utilizing more modern methods report a higher prevalence. There have been reports of a few Inborn errors of metabolisms in Nepal, but studies to gauge the prevalence of these disorders in the Nepalese population are lacking. With conflicting statistical numbers from different sources regarding mental retardation cases in Nepalese population and a substantial rate of consanguinity and inter caste marriages, it would be prudent to initiate some pilot studies to estimate the prevalence of a group of disorders that can be diagnosed through simple laboratory tests, to be followed by a screening programme depending upon the results. The presented review discusses the need for and the possibilities of screening for these errors for early intervention in Nepal. DOI: http://dx.doi.org/10.3126/kumj.v8i3.6224 Kathmandu Univ Med J 2010;8(3):333-40 ?
Basic science research in medicine
A S Pandey
Kathmandu University Medical Journal , 2010, DOI: 10.3126/kumj.v8i3.6214
Abstract: No abstract available DOI: http://dx.doi.org/10.3126/kumj.v8i3.6214 Kathmandu Univ Med J 2010;8(3):292-3 ?
Bulk Viscous Cosmological Models in Barber's Second Self Creation Theory
A. Pradhan,H. R. Pandey
Physics , 2002, DOI: 10.1142/S0218271802002207
Abstract: Barber's second self creation theory with bulk viscous fluid source for an LRS Bianchi type-I metric is considered by using deceleration parameter to be constant where the metric potentials are taken as function of $x$ and $t$. The coefficient of bulk viscosity is assumed to be a power function of the mass density. Some physical and geometrical features of the models are discussed
Preface
Koutinas, Athanasios A.,Pandey, Ashok
- , 2008,
Abstract: Hr?ak ID: 2439
Predgovor
Koutinas, Athanasios A.,Pandey, Ashok
- , 2008,
Abstract: Hr?ak ID: 2439
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